Recognize objects, images and videos with ML. Labeling, content moderation, text detection, face detection, celebrity recognition...
Uses ASR to convert speech to text.
Supports language identification.
You can remove sensitive content or vocabulary.
Turn text into speech.
Translation.
Used to create chatbots, call center bots. Have voice recognition. Powers Alexa.
A virtual contact center, it can receive calls, create contact flows...
Works with Lex.
For NLP, it finds insights and relationships in a text.
Tokenize speech, can organize a collection of text files by topic.
Used to build & train ML models on data.
Example: Predict your exam score.
Predict time series values.
Create a forecasting model.
Can answer to a question by searching in documents.
Search in documents (pdf, html, text, Word..).
Real-time personalized recommendations.
Example: marketing (next product to buy for the current).
Recommendation engine used by Amazon.com
Extract text from pictures.